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Local Regression and Likelihood by Clive Loader (English) Hardcover Book

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eBay item number:375266917091
Last updated on 06 Jul, 2025 03:06:47 AESTView all revisionsView all revisions

Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
Book Title
Local Regression and Likelihood
ISBN-13
9780387987750
ISBN
9780387987750

About this product

Product Identifiers

Publisher
Springer New York
ISBN-10
0387987754
ISBN-13
9780387987750
eBay Product ID (ePID)
963180

Product Key Features

Number of Pages
Xiv, 290 Pages
Language
English
Publication Name
Local Regression and Likelihood
Subject
Probability & Statistics / Stochastic Processes, Mathematical & Statistical Software, Probability & Statistics / Regression Analysis, Probability & Statistics / General, Statistics
Publication Year
1999
Type
Textbook
Author
Clive Loader
Subject Area
Mathematics, Computers, Business & Economics
Series
Statistics and Computing Ser.
Format
Hardcover

Dimensions

Item Height
0.3 in
Item Weight
47.6 Oz
Item Length
9.2 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
99-014732
Dewey Edition
21
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
519.5/36
Table Of Content
The Origins of Local Regression.- Local Regression Methods.- Fitting with LOCFIT.- Local Likelihood Estimation.- Density Estimation.- Flexible Local Regression.- Survival and Failure Time Analysis.- Discrimination and Classification.- Variance Estimation and Goodness of Fit.- Bandwidth Selection.- Adaptive Parameter Choice.- Computational Methods.- Optimizing Local Regression.
Synopsis
Separation of signal from noise is the most fundamental problem in data analysis, arising in such fields as: signal processing, econometrics, actuarial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, with extensions to local likelihood and density estimation. Practical information is also included on how to implement these methods in the programs S-PLUS and LOCFIT., Separation of signal from noise is the most fundamental problem in data analysis, and arises in many fields, for example, signal processing, econometrics, acturial science, and geostatistics. This book introduces the local regression method in univariate and multivariate settings, and extensions to local likelihood and density estimation. Basic theoretical results and diagnostic tools such as cross validation are introduced along the way. Examples illustrate the implementation of the methods using the LOCFIT software., Smoothing methods play an important role in many areas of statistics. This book explains how to implement these methods in several popular statistical programs including S-PLUS.
LC Classification Number
QA273.A1-274.9

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